Machine Learning Scientist II

Machine Learning Scientist II – Bing Revenue Optimization

The Bing Whole Page Revenue Optimization team is looking for a Machine Learning Scientist II who is passionate about solving complex machine learning problems and working on new features that will impact millions of users around the world daily – all of that with the added benefit of driving such features end-to-end, from design to model training and implementation to A/B testing to shipping.

Our team focuses on the monetization aspect of Bing by optimizing how pages are presented to users. As a member of the team, you will have the opportunity to analyze real world user behavior data, come up with new features and ideas, design and train models, and implement them end-to-end in the Bing stack, run A/B tests, and make informed decisions based on statistics. Come help us make Microsoft's mission a reality: to empower every person and every organization on the planet to achieve more. 

Responsibilities

• Leverage state-of-the-art AI techniques to build AI powered systems and solutions to achieve business goals.
• Design and implement high quality software features in the backend.
• Analyze the results of A/B experiments and make informed decisions on user impact.
• Generate new feature ideas for user engagement/revenue optimization through competitive analysis and user insights.
• Work effectively with peer engineers, designers, and program managers to maintain team’s agility.

Qualifications

Required/minimum qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 2+ years experience in software engineering using C#, Java, C/C++ or other object-oriented programming languages.
• 2+ years of experience in machine learning

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• Expertise and practical experience in using statistical machine learning, deep learning, Computer Vision, NLP, data mining, information retrieval/optimization, and LLMs.
• Design, problem solving, and data analysis skills, with demonstrated passion for quality, performance, and engineering excellence.
• Strong coding, debugging and problem-solving skills.
• Demonstrated communication skills to collaborate within and across the organization.
• Experience in online service development

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $127,200 - $208,800 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until September 28, 2024.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.